added main module for accessing all services
This commit is contained in:
Raju Komati
parent
25428d58d5
commit
920fe19608
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@ -14,3 +14,5 @@
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*.log
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cookie.json
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*.pyc
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@ -1,15 +0,0 @@
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### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
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```python
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import forefront
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# create an account
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token = forefront.Account.create(logging=True)
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print(token)
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# get a response
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for response in forefront.StreamingCompletion.create(token = token,
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prompt = 'hello world', model='gpt-4'):
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print(response.completion.choices[0].text, end = '')
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```
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@ -1,152 +0,0 @@
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from json import loads
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from re import match
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from time import time, sleep
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from uuid import uuid4
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from requests import post
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from tls_client import Session
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from forefront.mail import Mail
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from forefront.typing import ForeFrontResponse
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class Account:
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@staticmethod
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def create(proxy=None, logging=False):
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proxies = {
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'http': 'http://' + proxy,
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'https': 'http://' + proxy} if proxy else False
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start = time()
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mail = Mail(proxies)
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mail_token = None
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mail_adress = mail.get_mail()
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# print(mail_adress)
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client = Session(client_identifier='chrome110')
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client.proxies = proxies
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client.headers = {
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"origin": "https://accounts.forefront.ai",
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"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36",
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}
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response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
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data={
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"email_address": mail_adress
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}
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)
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trace_token = response.json()['response']['id']
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if logging: print(trace_token)
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response = client.post(
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f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
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data={
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"strategy": "email_code",
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}
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)
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if logging: print(response.text)
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if not 'sign_up_attempt' in response.text:
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return 'Failed to create account!'
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while True:
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sleep(1)
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for _ in mail.fetch_inbox():
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print(mail.get_message_content(_["id"]))
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mail_token = match(r"(\d){5,6}", mail.get_message_content(_["id"])).group(0)
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if mail_token:
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break
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if logging: print(mail_token)
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
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data={
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'code': mail_token,
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'strategy': 'email_code'
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})
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if logging: print(response.json())
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token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
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with open('accounts.txt', 'a') as f:
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f.write(f'{mail_adress}:{token}\n')
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if logging: print(time() - start)
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return token
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class StreamingCompletion:
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@staticmethod
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def create(
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token=None,
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chatId=None,
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prompt='',
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actionType='new',
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defaultPersona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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model='gpt-4') -> ForeFrontResponse:
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if not token: raise Exception('Token is required!')
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if not chatId: chatId = str(uuid4())
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headers = {
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'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'authorization': 'Bearer ' + token,
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': 'https://chat.forefront.ai',
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'pragma': 'no-cache',
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'referer': 'https://chat.forefront.ai/',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'cross-site',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
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}
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json_data = {
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'text': prompt,
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'action': actionType,
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'parentId': chatId,
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'workspaceId': chatId,
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'messagePersona': defaultPersona,
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'model': model
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}
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for chunk in post('https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
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headers=headers, json=json_data, stream=True).iter_lines():
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if b'finish_reason":null' in chunk:
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data = loads(chunk.decode('utf-8').split('data: ')[1])
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token = data['choices'][0]['delta'].get('content')
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if token != None:
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yield ForeFrontResponse({
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'id': chatId,
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'object': 'text_completion',
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'created': int(time()),
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'model': model,
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'choices': [{
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'text': token,
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'index': 0,
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'logprobs': None,
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'finish_reason': 'stop'
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}],
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'usage': {
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'prompt_tokens': len(prompt),
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'completion_tokens': len(token),
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'total_tokens': len(prompt) + len(token)
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}
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})
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@ -1,36 +0,0 @@
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class ForeFrontResponse:
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class Completion:
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class Choices:
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def __init__(self, choice: dict) -> None:
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self.text = choice['text']
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self.content = self.text.encode()
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self.index = choice['index']
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self.logprobs = choice['logprobs']
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self.finish_reason = choice['finish_reason']
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def __repr__(self) -> str:
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return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
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def __init__(self, choices: dict) -> None:
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self.choices = [self.Choices(choice) for choice in choices]
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class Usage:
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def __init__(self, usage_dict: dict) -> None:
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self.prompt_tokens = usage_dict['prompt_tokens']
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self.completion_tokens = usage_dict['completion_tokens']
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self.total_tokens = usage_dict['total_tokens']
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def __repr__(self):
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return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
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def __init__(self, response_dict: dict) -> None:
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self.response_dict = response_dict
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self.id = response_dict['id']
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self.object = response_dict['object']
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self.created = response_dict['created']
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self.model = response_dict['model']
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self.completion = self.Completion(response_dict['choices'])
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self.usage = self.Usage(response_dict['usage'])
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def json(self) -> dict:
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return self.response_dict
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@ -4,19 +4,21 @@ import sys
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sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
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import streamlit as st
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import you
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from openai_rev import you
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def get_answer(question: str) -> str:
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# Set cloudflare clearance cookie and get answer from GPT-4 model
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try:
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result = you.Completion.create(
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prompt = question)
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return result['response']
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result = you.Completion.create(prompt=question)
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return result.text
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except Exception as e:
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# Return error message if an exception occurs
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return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
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return (
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f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
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)
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# Set page configuration and add header
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@ -27,14 +29,13 @@ st.set_page_config(
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menu_items={
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'Get Help': 'https://github.com/xtekky/gpt4free/blob/main/README.md',
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'Report a bug': "https://github.com/xtekky/gpt4free/issues",
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'About': "### gptfree GUI"
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}
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'About': "### gptfree GUI",
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},
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)
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st.header('GPT4free GUI')
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# Add text area for user input and button to get answer
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question_text_area = st.text_area(
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'🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
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question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
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if st.button('🧠 Think'):
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answer = get_answer(question_text_area)
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# Display answer
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@ -0,0 +1,15 @@
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### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
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```python
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from openai_rev import forefront
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# create an account
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token = forefront.Account.create(logging=True)
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print(token)
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# get a response
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for response in forefront.StreamingCompletion.create(token=token,
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prompt='hello world', model='gpt-4'):
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print(response.completion.choices[0].text, end='')
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```
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@ -0,0 +1,180 @@
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from json import loads
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from re import match
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from time import time, sleep
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from uuid import uuid4
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from altair.vegalite.v3 import Generator
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from fake_useragent import UserAgent
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from requests import post
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from tls_client import Session
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from .mail import Mail
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from .models import ForeFrontResponse
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class Account:
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@staticmethod
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def create(proxy=None, logging=False):
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proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
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start = time()
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mail_client = Mail(proxies)
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mail_token = None
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mail_address = mail_client.get_mail()
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# print(mail_address)
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client = Session(client_identifier='chrome110')
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client.proxies = proxies
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client.headers = {
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'origin': 'https://accounts.forefront.ai',
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'user-agent': UserAgent().random,
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}
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response = client.post(
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'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
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data={'email_address': mail_address},
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)
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trace_token = response.json()['response']['id']
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if logging:
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print(trace_token)
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
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data={
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'strategy': 'email_code',
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},
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)
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if logging:
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print(response.text)
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if 'sign_up_attempt' not in response.text:
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return 'Failed to create account!'
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while True:
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sleep(1)
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for _ in mail_client.fetch_inbox():
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print(mail_client.get_message_content(_['id']))
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mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)
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if mail_token:
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break
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if logging:
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print(mail_token)
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
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data={'code': mail_token, 'strategy': 'email_code'},
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)
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if logging:
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print(response.json())
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token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
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with open('accounts.txt', 'a') as f:
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f.write(f'{mail_address}:{token}\n')
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if logging:
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print(time() - start)
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return token
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class StreamingCompletion:
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@staticmethod
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def create(
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token=None,
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chat_id=None,
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prompt='',
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action_type='new',
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default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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model='gpt-4',
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) -> Generator[ForeFrontResponse, None, None]:
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if not token:
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raise Exception('Token is required!')
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if not chat_id:
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chat_id = str(uuid4())
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headers = {
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'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'authorization': 'Bearer ' + token,
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': 'https://chat.forefront.ai',
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'pragma': 'no-cache',
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'referer': 'https://chat.forefront.ai/',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'cross-site',
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'user-agent': UserAgent().random,
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}
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json_data = {
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'text': prompt,
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'action': action_type,
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'parentId': chat_id,
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'workspaceId': chat_id,
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'messagePersona': default_persona,
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'model': model,
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}
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for chunk in post(
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'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
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headers=headers,
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json=json_data,
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stream=True,
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).iter_lines():
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if b'finish_reason":null' in chunk:
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data = loads(chunk.decode('utf-8').split('data: ')[1])
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token = data['choices'][0]['delta'].get('content')
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if token is not None:
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yield ForeFrontResponse(
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**{
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'id': chat_id,
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'object': 'text_completion',
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'created': int(time()),
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'text': token,
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'model': model,
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'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
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'usage': {
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'prompt_tokens': len(prompt),
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'completion_tokens': len(token),
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'total_tokens': len(prompt) + len(token),
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},
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}
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)
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class Completion:
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@staticmethod
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def create(
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token=None,
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chat_id=None,
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prompt='',
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action_type='new',
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default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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model='gpt-4',
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) -> ForeFrontResponse:
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final_response = None
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for response in StreamingCompletion.create(
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token=token,
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chat_id=chat_id,
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prompt=prompt,
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action_type=action_type,
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default_persona=default_persona,
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model=model,
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):
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final_response = response
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return final_response
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@ -23,21 +23,17 @@ class Mail:
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"sec-fetch-dest": "empty",
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"referer": "https://mail.tm/",
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"accept-encoding": "gzip, deflate, br",
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"accept-language": "en-GB,en-US;q=0.9,en;q=0.8"
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"accept-language": "en-GB,en-US;q=0.9,en;q=0.8",
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}
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def get_mail(self) -> str:
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token = ''.join(choices(ascii_letters, k=14)).lower()
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init = self.client.post("https://api.mail.tm/accounts", json={
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"address": f"{token}@bugfoo.com",
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"password": token
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})
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init = self.client.post(
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"https://api.mail.tm/accounts", json={"address": f"{token}@bugfoo.com", "password": token}
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)
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if init.status_code == 201:
|
||||
resp = self.client.post("https://api.mail.tm/token", json={
|
||||
**init.json(),
|
||||
"password": token
|
||||
})
|
||||
resp = self.client.post("https://api.mail.tm/token", json={**init.json(), "password": token})
|
||||
|
||||
self.client.headers['authorization'] = 'Bearer ' + resp.json()['token']
|
||||
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
from typing import Any, List
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class Choice(BaseModel):
|
||||
text: str
|
||||
index: int
|
||||
logprobs: Any
|
||||
finish_reason: str
|
||||
|
||||
|
||||
class Usage(BaseModel):
|
||||
prompt_tokens: int
|
||||
completion_tokens: int
|
||||
total_tokens: int
|
||||
|
||||
|
||||
class ForeFrontResponse(BaseModel):
|
||||
id: str
|
||||
object: str
|
||||
created: int
|
||||
model: str
|
||||
choices: List[Choice]
|
||||
usage: Usage
|
||||
text: str
|
||||
|
|
@ -0,0 +1,35 @@
|
|||
from enum import Enum
|
||||
|
||||
import quora
|
||||
import you
|
||||
|
||||
|
||||
class Provider(Enum):
|
||||
You = 'you'
|
||||
Poe = 'poe'
|
||||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(provider: Provider, prompt: str, **kwargs):
|
||||
if provider == Provider.Poe:
|
||||
return Completion.__poe_service(prompt, **kwargs)
|
||||
elif provider == Provider.You:
|
||||
return Completion.__you_service(prompt, **kwargs)
|
||||
|
||||
@classmethod
|
||||
def __you_service(cls, prompt: str, **kwargs) -> str:
|
||||
return you.Completion.create(prompt).text
|
||||
|
||||
@classmethod
|
||||
def __poe_service(cls, prompt: str, **kwargs) -> str:
|
||||
return quora.Completion.create(prompt=prompt).text
|
||||
|
||||
|
||||
# usage You
|
||||
response = Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
|
||||
print(response)
|
||||
|
||||
# usage Poe
|
||||
response = Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token='GKzCahZYGKhp76LfE197xw==')
|
||||
print(response)
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
|
||||
|
||||
```python
|
||||
|
||||
from openai_rev import phind
|
||||
|
||||
# set cf_clearance cookie (needed again)
|
||||
phind.cf_clearance = 'xx.xx-1682166681-0-160'
|
||||
phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36' # same as the one from browser you got cf_clearance from
|
||||
|
||||
prompt = 'who won the quatar world cup'
|
||||
|
||||
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
|
||||
# stream completion
|
||||
for result in phind.StreamingCompletion.create(
|
||||
model='gpt-4',
|
||||
prompt=prompt,
|
||||
results=phind.Search.create(prompt, actualSearch=True),
|
||||
# create search (set actualSearch to False to disable internet)
|
||||
creative=False,
|
||||
detailed=False,
|
||||
codeContext=''): # up to 3000 chars of code
|
||||
|
||||
print(result.completion.choices[0].text, end='', flush=True)
|
||||
|
||||
# normal completion
|
||||
result = phind.Completion.create(
|
||||
model='gpt-4',
|
||||
prompt=prompt,
|
||||
results=phind.Search.create(prompt, actualSearch=True),
|
||||
# create search (set actualSearch to False to disable internet)
|
||||
creative=False,
|
||||
detailed=False,
|
||||
codeContext='') # up to 3000 chars of code
|
||||
|
||||
print(result.completion.choices[0].text)
|
||||
```
|
||||
|
|
@ -20,37 +20,37 @@ models = {
|
|||
|
||||
```python
|
||||
# import quora (poe) package
|
||||
import quora
|
||||
from openai_rev import quora
|
||||
|
||||
# create account
|
||||
# make sure to set enable_bot_creation to True
|
||||
token = quora.Account.create(logging = True, enable_bot_creation=True)
|
||||
token = quora.Account.create(logging=True, enable_bot_creation=True)
|
||||
|
||||
model = quora.Model.create(
|
||||
token = token,
|
||||
model = 'gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt = 'you are ChatGPT a large language model ...'
|
||||
token=token,
|
||||
model='gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt='you are ChatGPT a large language model ...'
|
||||
)
|
||||
|
||||
print(model.name) # gptx....
|
||||
print(model.name) # gptx....
|
||||
|
||||
# streaming response
|
||||
for response in quora.StreamingCompletion.create(
|
||||
custom_model = model.name,
|
||||
prompt ='hello world',
|
||||
token = token):
|
||||
|
||||
print(response.completion.choices[0].text)
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.text)
|
||||
```
|
||||
|
||||
#### Normal Response:
|
||||
```python
|
||||
import quora
|
||||
|
||||
response = quora.Completion.create(model = 'gpt-4',
|
||||
prompt = 'hello world',
|
||||
token = token)
|
||||
token = 'token')
|
||||
|
||||
print(response.completion.choices[0].text)
|
||||
print(response.text)
|
||||
```
|
||||
|
||||
#### Update Use This For Poe
|
||||
|
|
@ -6,11 +6,12 @@ from pathlib import Path
|
|||
from random import choice, choices, randint
|
||||
from re import search, findall
|
||||
from string import ascii_letters, digits
|
||||
from typing import Optional, Union
|
||||
from typing import Optional, Union, List, Any, Generator
|
||||
from urllib.parse import unquote
|
||||
|
||||
import selenium.webdriver.support.expected_conditions as EC
|
||||
from fake_useragent import UserAgent
|
||||
from pydantic import BaseModel
|
||||
from pypasser import reCaptchaV3
|
||||
from requests import Session
|
||||
from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
|
||||
|
|
@ -18,8 +19,8 @@ from selenium.webdriver.common.by import By
|
|||
from selenium.webdriver.support.wait import WebDriverWait
|
||||
from tls_client import Session as TLS
|
||||
|
||||
from quora.api import Client as PoeClient
|
||||
from quora.mail import Emailnator
|
||||
from .api import Client as PoeClient
|
||||
from .mail import Emailnator
|
||||
|
||||
SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not
|
||||
being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location
|
||||
|
|
@ -67,42 +68,27 @@ def extract_formkey(html):
|
|||
return formkey
|
||||
|
||||
|
||||
class PoeResponse:
|
||||
class Completion:
|
||||
class Choices:
|
||||
def __init__(self, choice: dict) -> None:
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
class Choice(BaseModel):
|
||||
text: str
|
||||
index: int
|
||||
logprobs: Any
|
||||
finish_reason: str
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
|
||||
|
||||
def __init__(self, choices: dict) -> None:
|
||||
self.choices = [self.Choices(choice) for choice in choices]
|
||||
class Usage(BaseModel):
|
||||
prompt_tokens: int
|
||||
completion_tokens: int
|
||||
total_tokens: int
|
||||
|
||||
class Usage:
|
||||
def __init__(self, usage_dict: dict) -> None:
|
||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
||||
self.completion_tokens = usage_dict['completion_tokens']
|
||||
self.total_tokens = usage_dict['total_tokens']
|
||||
|
||||
def __repr__(self):
|
||||
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
|
||||
|
||||
def __init__(self, response_dict: dict) -> None:
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
class PoeResponse(BaseModel):
|
||||
id: int
|
||||
object: str
|
||||
created: int
|
||||
model: str
|
||||
choices: List[Choice]
|
||||
usage: Usage
|
||||
text: str
|
||||
|
||||
|
||||
class ModelResponse:
|
||||
|
|
@ -116,11 +102,11 @@ class ModelResponse:
|
|||
class Model:
|
||||
@staticmethod
|
||||
def create(
|
||||
token: str,
|
||||
model: str = 'gpt-3.5-turbo', # claude-instant
|
||||
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
|
||||
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
|
||||
handle: str = None,
|
||||
token: str,
|
||||
model: str = 'gpt-3.5-turbo', # claude-instant
|
||||
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
|
||||
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
|
||||
handle: str = None,
|
||||
) -> ModelResponse:
|
||||
models = {
|
||||
'gpt-3.5-turbo': 'chinchilla',
|
||||
|
|
@ -202,9 +188,9 @@ class Model:
|
|||
class Account:
|
||||
@staticmethod
|
||||
def create(
|
||||
proxy: Optional[str] = None,
|
||||
logging: bool = False,
|
||||
enable_bot_creation: bool = False,
|
||||
proxy: Optional[str] = None,
|
||||
logging: bool = False,
|
||||
enable_bot_creation: bool = False,
|
||||
):
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
|
||||
|
|
@ -309,22 +295,23 @@ class Account:
|
|||
class StreamingCompletion:
|
||||
@staticmethod
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
) -> Generator[PoeResponse, None, None]:
|
||||
_model = MODELS[model] if not custom_model else custom_model
|
||||
|
||||
client = PoeClient(token)
|
||||
|
||||
for chunk in client.send_message(_model, prompt):
|
||||
yield PoeResponse(
|
||||
{
|
||||
**{
|
||||
'id': chunk['messageId'],
|
||||
'object': 'text_completion',
|
||||
'created': chunk['creationTime'],
|
||||
'model': _model,
|
||||
'text': chunk['text_new'],
|
||||
'choices': [
|
||||
{
|
||||
'text': chunk['text_new'],
|
||||
|
|
@ -343,12 +330,13 @@ class StreamingCompletion:
|
|||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
) -> PoeResponse:
|
||||
models = {
|
||||
'sage': 'capybara',
|
||||
'gpt-4': 'beaver',
|
||||
|
|
@ -361,15 +349,17 @@ class Completion:
|
|||
|
||||
client = PoeClient(token)
|
||||
|
||||
for chunk in client.send_message(_model, prompt):
|
||||
pass
|
||||
chunk = None
|
||||
for response in client.send_message(_model, prompt):
|
||||
chunk = response
|
||||
|
||||
return PoeResponse(
|
||||
{
|
||||
**{
|
||||
'id': chunk['messageId'],
|
||||
'object': 'text_completion',
|
||||
'created': chunk['creationTime'],
|
||||
'model': _model,
|
||||
'text': chunk['text_new'],
|
||||
'choices': [
|
||||
{
|
||||
'text': chunk['text'],
|
||||
|
|
@ -389,12 +379,12 @@ class Completion:
|
|||
|
||||
class Poe:
|
||||
def __init__(
|
||||
self,
|
||||
model: str = 'ChatGPT',
|
||||
driver: str = 'firefox',
|
||||
download_driver: bool = False,
|
||||
driver_path: Optional[str] = None,
|
||||
cookie_path: str = './quora/cookie.json',
|
||||
self,
|
||||
model: str = 'ChatGPT',
|
||||
driver: str = 'firefox',
|
||||
download_driver: bool = False,
|
||||
driver_path: Optional[str] = None,
|
||||
cookie_path: str = './quora/cookie.json',
|
||||
):
|
||||
# validating the model
|
||||
if model and model not in MODELS:
|
||||
|
|
@ -473,12 +463,12 @@ class Poe:
|
|||
return response
|
||||
|
||||
def create_bot(
|
||||
self,
|
||||
name: str,
|
||||
/,
|
||||
prompt: str = '',
|
||||
base_model: str = 'ChatGPT',
|
||||
description: str = '',
|
||||
self,
|
||||
name: str,
|
||||
/,
|
||||
prompt: str = '',
|
||||
base_model: str = 'ChatGPT',
|
||||
description: str = '',
|
||||
) -> None:
|
||||
if base_model not in MODELS:
|
||||
raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')
|
||||
|
|
@ -384,7 +384,7 @@ class Client:
|
|||
continue
|
||||
|
||||
# update info about response
|
||||
message["text_new"] = message["text"][len(last_text):]
|
||||
message["text_new"] = message["text"][len(last_text) :]
|
||||
last_text = message["text"]
|
||||
message_id = message["messageId"]
|
||||
|
||||
|
|
@ -456,21 +456,21 @@ class Client:
|
|||
logger.info(f"No more messages left to delete.")
|
||||
|
||||
def create_bot(
|
||||
self,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_bot=False,
|
||||
api_url=None,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
private=False,
|
||||
self,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_bot=False,
|
||||
api_url=None,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
private=False,
|
||||
):
|
||||
result = self.send_query(
|
||||
"PoeBotCreateMutation",
|
||||
|
|
@ -499,21 +499,21 @@ class Client:
|
|||
return data
|
||||
|
||||
def edit_bot(
|
||||
self,
|
||||
bot_id,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_url=None,
|
||||
private=False,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
self,
|
||||
bot_id,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_url=None,
|
||||
private=False,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
):
|
||||
result = self.send_query(
|
||||
"PoeBotEditMutation",
|
||||
|
|
@ -42,9 +42,7 @@ class Emailnator:
|
|||
|
||||
while True:
|
||||
sleep(2)
|
||||
mail_token = self.client.post(
|
||||
"https://www.emailnator.com/message-list", json={"email": self.email}
|
||||
)
|
||||
mail_token = self.client.post("https://www.emailnator.com/message-list", json={"email": self.email})
|
||||
|
||||
mail_token = loads(mail_token.text)["messageData"]
|
||||
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
|
||||
|
||||
```python
|
||||
import you
|
||||
|
||||
from openai_rev import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(
|
||||
|
|
@ -1,28 +1,36 @@
|
|||
import json
|
||||
import re
|
||||
from json import loads
|
||||
from typing import Optional, List, Dict, Any
|
||||
from uuid import uuid4
|
||||
|
||||
from fake_useragent import UserAgent
|
||||
from pydantic import BaseModel
|
||||
from tls_client import Session
|
||||
|
||||
|
||||
class PoeResponse(BaseModel):
|
||||
text: Optional[str] = None
|
||||
links: List[str] = []
|
||||
extra: Dict[str, Any] = {}
|
||||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
prompt: str,
|
||||
page: int = 1,
|
||||
count: int = 10,
|
||||
safe_search: str = 'Moderate',
|
||||
on_shopping_page: bool = False,
|
||||
mkt: str = '',
|
||||
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
|
||||
domain: str = 'youchat',
|
||||
query_trace_id: str = None,
|
||||
chat: list = None,
|
||||
include_links: bool = False,
|
||||
detailed: bool = False,
|
||||
debug: bool = False,
|
||||
) -> dict:
|
||||
prompt: str,
|
||||
page: int = 1,
|
||||
count: int = 10,
|
||||
safe_search: str = 'Moderate',
|
||||
on_shopping_page: bool = False,
|
||||
mkt: str = '',
|
||||
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
|
||||
domain: str = 'youchat',
|
||||
query_trace_id: str = None,
|
||||
chat: list = None,
|
||||
include_links: bool = False,
|
||||
detailed: bool = False,
|
||||
debug: bool = False,
|
||||
) -> PoeResponse:
|
||||
if chat is None:
|
||||
chat = []
|
||||
|
||||
|
|
@ -57,23 +65,25 @@ class Completion:
|
|||
r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
|
||||
).group()
|
||||
third_party_search_results = re.search(
|
||||
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text).group()
|
||||
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
|
||||
).group()
|
||||
# slots = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
|
||||
|
||||
text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
|
||||
|
||||
extra = {
|
||||
'youChatSerpResults': loads(you_chat_serp_results),
|
||||
'youChatSerpResults': json.loads(you_chat_serp_results),
|
||||
# 'slots' : loads(slots)
|
||||
}
|
||||
|
||||
return {
|
||||
'response': text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'),
|
||||
'links': loads(third_party_search_results)['search']['third_party_search_results']
|
||||
if include_links
|
||||
else None,
|
||||
'extra': extra if detailed else None,
|
||||
}
|
||||
response = PoeResponse(text=text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'))
|
||||
if include_links:
|
||||
response.links = json.loads(third_party_search_results)['search']['third_party_search_results']
|
||||
|
||||
if detailed:
|
||||
response.extra = extra
|
||||
|
||||
return response
|
||||
|
||||
@classmethod
|
||||
def __get_headers(cls) -> dict:
|
||||
|
|
@ -94,5 +104,5 @@ class Completion:
|
|||
}
|
||||
|
||||
@classmethod
|
||||
def __get_failure_response(cls) -> dict:
|
||||
return dict(response='Unable to fetch the response, Please try again.', links=[], extra={})
|
||||
def __get_failure_response(cls) -> PoeResponse:
|
||||
return PoeResponse(text='Unable to fetch the response, Please try again.')
|
||||
|
|
@ -1,5 +1,5 @@
|
|||
websocket-client
|
||||
requests
|
||||
requests==2.29.0
|
||||
tls-client
|
||||
pypasser
|
||||
names
|
||||
|
|
@ -9,3 +9,4 @@ streamlit==1.21.0
|
|||
selenium
|
||||
fake-useragent
|
||||
twocaptcha
|
||||
pydantic
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
idkaovprvbrjbb@bugfoo.com:eyJhbGciOiJSUzI1NiIsImtpZCI6Imluc18yTzZ3UTFYd3dxVFdXUWUyQ1VYZHZ2bnNaY2UiLCJ0eXAiOiJKV1QifQ.eyJhenAiOiJodHRwczovL2FjY291bnRzLmZvcmVmcm9udC5haSIsImV4cCI6MTY4MjYxNDUxOSwiaWF0IjoxNjgyNjE0NDU5LCJpc3MiOiJodHRwczovL2NsZXJrLmZvcmVmcm9udC5haSIsIm5iZiI6MTY4MjYxNDQ0OSwic2lkIjoic2Vzc18yUDFBeFNHNnFHdzhWSFNla2lhMVB0NWJYdW8iLCJzdWIiOiJ1c2VyXzJQMUF4TWlNRzFLb00xeFFUQVExcFFjd0d3dyJ9.Nw82ExUQMvJE8oVAmUYl81dS9J43YK0AQYwLJjE5fCozanqQi946q_6DRRQz-9kkm-Zd60zuFzl_ANgZ9lLOOSMd89oJArbu3VUOA8Q-BOtUE0INmwvPCP7KtLDEVRGEsF8oIddwE1Da1rEToBEHrwBuzOVbRvoKqbJ7KZrRB7tHzUVyik3n7K3bddyecIA5Gtj8Nmc_NvwVaBelHOfjH0eoU7y0oza-bOJPNCRosjV3kFdoYhHNtNvQkfIF7MSmqyeC-NHhDVdmv57ehkVdr_H0_MyoT2kNWEk1ETzST36Lhu06yaaWzAPhjpcThN8Q7OFNXSHUAhTJibMHER6UGw
|
||||
vpmysvdoydnumi@bugfoo.com:eyJhbGciOiJSUzI1NiIsImtpZCI6Imluc18yTzZ3UTFYd3dxVFdXUWUyQ1VYZHZ2bnNaY2UiLCJ0eXAiOiJKV1QifQ.eyJhenAiOiJodHRwczovL2FjY291bnRzLmZvcmVmcm9udC5haSIsImV4cCI6MTY4MjYyMDM4MSwiaWF0IjoxNjgyNjIwMzIxLCJpc3MiOiJodHRwczovL2NsZXJrLmZvcmVmcm9udC5haSIsIm5iZiI6MTY4MjYyMDMxMSwic2lkIjoic2Vzc18yUDFNcTM1Tmtld3lIa2NOYUJvNDcyV1haR0MiLCJzdWIiOiJ1c2VyXzJQMU1xNFRYcmJlYVhSYVdKUWFjZGRZTVNyMiJ9.PVQlpsxJxgTOaizJ34AGkP3yJzhDAUFBw29gEP0cHCuUZcAUk1MVKeXYoXr32nqQmUmPO5-kmbp3p639idzA3E7EYnOCJ6xOTs6qB4QvmtEfAJQLD84-h5cYXkLzpqcWZeszDkoAQAZKhmI5kGn_OJzblYVodSjz92klrGSASuqIwqywvGNKb2NwQ80yRrNHUcGeI6tRPtMdZ0ieOi04SphXpyB7-JLZuco8nwqivs3uX97Jtkw3EYsTjhp5MKwfG9hGjHk54IwxAJtbMCSMDxDcOYxO2vxVL4W4syCHCB3yUJANmuFjL7mIv76uy4w0YIJtDFAYn3oad7dbHWKtSQ
|
||||
xjwollilwtumif@bugfoo.com:eyJhbGciOiJSUzI1NiIsImtpZCI6Imluc18yTzZ3UTFYd3dxVFdXUWUyQ1VYZHZ2bnNaY2UiLCJ0eXAiOiJKV1QifQ.eyJhenAiOiJodHRwczovL2FjY291bnRzLmZvcmVmcm9udC5haSIsImV4cCI6MTY4MjYyMDcwNywiaWF0IjoxNjgyNjIwNjQ3LCJpc3MiOiJodHRwczovL2NsZXJrLmZvcmVmcm9udC5haSIsIm5iZiI6MTY4MjYyMDYzNywic2lkIjoic2Vzc18yUDFOVjBjMm5JdWVLak82SjVWUTVoTHVZTWQiLCJzdWIiOiJ1c2VyXzJQMU5VelpRWjZUZXRETkhnT0dWOHlaZ09pciJ9.O6GsP0QtekV5UMxvMEpUa65I5E_2ahihRbLGAfjSAnyWNY72fQgCgbi75n4L85ej9V9qeDxMqCPF0BA5hXN606ybdlBY_HvlvwRIgyKU2r5JyaltOow7bg6vu_qwj91YejvTDHR7w_cwq-FF4VRYysiJfoc-8jcO2HZl8HM0R8aaSf8xDHy0wCfpBYKN2Mw3-mP23Z08NxlehKXNdKoQq_zKQOJbl0DxfWaoFB6b-xocIl8RO2PR6r1yf0VzHaPNxa1PUrPcs94iaqXuOjpCzqEqO9kZf6WM0rWKRx6-u9A0BECaeirfYpNvdaNQHzIRSndzpTO-Kvnww6HtjDD-tg
|
||||
|
|
@ -1,10 +1,9 @@
|
|||
import forefront
|
||||
from openai_rev import forefront
|
||||
|
||||
# create an account
|
||||
token = forefront.Account.create(logging=True)
|
||||
print(token)
|
||||
|
||||
# get a response
|
||||
for response in forefront.StreamingCompletion.create(token=token,
|
||||
prompt='hello world', model='gpt-4'):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
|
||||
print(response)
|
||||
|
|
|
|||
|
|
@ -2,11 +2,10 @@ from hashlib import md5
|
|||
from json import dumps
|
||||
from re import findall
|
||||
|
||||
from tls_client import Session as TLS
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
from quora import extract_formkey
|
||||
from quora.mail import Emailnator
|
||||
from tls_client import Session as TLS
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
|
||||
|
||||
|
|
@ -14,14 +13,13 @@ solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
|
|||
class Account:
|
||||
def create(proxy: None or str = None, logging: bool = False, enable_bot_creation: bool = False):
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client.proxies = {
|
||||
'http': f'http://{proxy}',
|
||||
'https': f'http://{proxy}'} if proxy else None
|
||||
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
|
||||
|
||||
mail_client = Emailnator()
|
||||
mail_address = mail_client.get_mail()
|
||||
|
||||
if logging: print('email', mail_address)
|
||||
if logging:
|
||||
print('email', mail_address)
|
||||
|
||||
client.headers = {
|
||||
'authority': 'poe.com',
|
||||
|
|
@ -39,29 +37,30 @@ class Account:
|
|||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
client.headers["poe-formkey"] = extract_formkey(client.get('https://poe.com/login').text)
|
||||
client.headers["poe-tchannel"] = client.get('https://poe.com/api/settings').json()['tchannelData']['channel']
|
||||
|
||||
# token = reCaptchaV3('https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal')
|
||||
token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
|
||||
url='https://poe.com/login?redirect_url=%2F',
|
||||
version='v3',
|
||||
enterprise=1,
|
||||
invisible=1,
|
||||
action='login', )['code']
|
||||
token = solver.recaptcha(
|
||||
sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
|
||||
url='https://poe.com/login?redirect_url=%2F',
|
||||
version='v3',
|
||||
enterprise=1,
|
||||
invisible=1,
|
||||
action='login',
|
||||
)['code']
|
||||
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
|
||||
'variables': {
|
||||
'emailAddress': mail_address,
|
||||
'phoneNumber': None,
|
||||
'recaptchaToken': token
|
||||
payload = dumps(
|
||||
separators=(',', ':'),
|
||||
obj={
|
||||
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
|
||||
'variables': {'emailAddress': mail_address, 'phoneNumber': None, 'recaptchaToken': token},
|
||||
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
|
||||
},
|
||||
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
|
||||
})
|
||||
)
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
|
@ -74,31 +73,34 @@ class Account:
|
|||
print('please try using a proxy / wait for fix')
|
||||
|
||||
if 'Bad Request' in response.text:
|
||||
if logging: print('bad request, retrying...', response.json())
|
||||
if logging:
|
||||
print('bad request, retrying...', response.json())
|
||||
quit()
|
||||
|
||||
if logging: print('send_code', response.json())
|
||||
if logging:
|
||||
print('send_code', response.json())
|
||||
|
||||
mail_content = mail_client.get_message()
|
||||
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
|
||||
|
||||
if logging: print('code', mail_token)
|
||||
if logging:
|
||||
print('code', mail_token)
|
||||
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
|
||||
"variables": {
|
||||
"verificationCode": str(mail_token),
|
||||
"emailAddress": mail_address,
|
||||
"phoneNumber": None
|
||||
payload = dumps(
|
||||
separators=(',', ':'),
|
||||
obj={
|
||||
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
|
||||
"variables": {"verificationCode": str(mail_token), "emailAddress": mail_address, "phoneNumber": None},
|
||||
"query": "mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n",
|
||||
},
|
||||
"query": "mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n"
|
||||
})
|
||||
)
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
||||
response = client.post('https://poe.com/api/gql_POST', data=payload)
|
||||
if logging: print('verify_code', response.json())
|
||||
if logging:
|
||||
print('verify_code', response.json())
|
||||
|
||||
|
||||
Account.create(proxy='xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging=True)
|
||||
|
|
|
|||
|
|
@ -7,7 +7,5 @@ print('token', token)
|
|||
|
||||
sleep(2)
|
||||
|
||||
for response in quora.StreamingCompletion.create(model='gpt-3.5-turbo',
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text, end="", flush=True)
|
||||
for response in quora.StreamingCompletion.create(model='ChatGPT', prompt='hello world', token=token):
|
||||
print(response.text, flush=True)
|
||||
|
|
|
|||
|
|
@ -1,17 +1,12 @@
|
|||
import quora
|
||||
from openai_rev import quora
|
||||
|
||||
token = quora.Account.create(logging=True, enable_bot_creation=True)
|
||||
|
||||
model = quora.Model.create(
|
||||
token=token,
|
||||
model='gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt='you are ChatGPT a large language model ...'
|
||||
token=token, model='ChatGPT', system_prompt='you are ChatGPT a large language model ...' # or claude-instant-v1.0
|
||||
)
|
||||
|
||||
print(model.name)
|
||||
|
||||
for response in quora.StreamingCompletion.create(
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text)
|
||||
for response in quora.StreamingCompletion.create(custom_model=model.name, prompt='hello world', token=token):
|
||||
print(response.text)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,4 @@
|
|||
import sqlchat
|
||||
|
||||
for response in sqlchat.StreamCompletion.create(
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
for response in sqlchat.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
|
|
|
|||
|
|
@ -1,6 +1,4 @@
|
|||
import t3nsor
|
||||
|
||||
for response in t3nsor.StreamCompletion.create(
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
for response in t3nsor.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
|
||||
print(response.completion.choices[0].text)
|
||||
|
|
|
|||
|
|
@ -4,17 +4,14 @@ import writesonic
|
|||
# create account (3-4s)
|
||||
account = writesonic.Account.create(logging=True)
|
||||
|
||||
# with loging:
|
||||
# with loging:
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
|
||||
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
|
||||
|
||||
# simple completion
|
||||
response = writesonic.Completion.create(
|
||||
api_key=account.key,
|
||||
prompt='hello world'
|
||||
)
|
||||
response = writesonic.Completion.create(api_key=account.key, prompt='hello world')
|
||||
|
||||
print(response.completion.choices[0].text) # Hello! How may I assist you today?
|
||||
|
||||
|
|
@ -24,16 +21,7 @@ response = writesonic.Completion.create(
|
|||
api_key=account.key,
|
||||
prompt='what is my name ?',
|
||||
enable_memory=True,
|
||||
history_data=[
|
||||
{
|
||||
'is_sent': True,
|
||||
'message': 'my name is Tekky'
|
||||
},
|
||||
{
|
||||
'is_sent': False,
|
||||
'message': 'hello Tekky'
|
||||
}
|
||||
]
|
||||
history_data=[{'is_sent': True, 'message': 'my name is Tekky'}, {'is_sent': False, 'message': 'hello Tekky'}],
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Your name is Tekky.
|
||||
|
|
@ -41,9 +29,7 @@ print(response.completion.choices[0].text) # Your name is Tekky.
|
|||
# enable internet
|
||||
|
||||
response = writesonic.Completion.create(
|
||||
api_key=account.key,
|
||||
prompt='who won the quatar world cup ?',
|
||||
enable_google_results=True
|
||||
api_key=account.key, prompt='who won the quatar world cup ?', enable_google_results=True
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
import you
|
||||
from openai_rev import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(prompt="hello world", detailed=True, include_links=True)
|
||||
|
|
|
|||
Loading…
Reference in New Issue